Method, apparatus, and program for implementing an automation computing evaluation scale to generate recommendations

ABSTRACT

An automation assessment tool is provided that defines autonomic technology, processes, organization, and skill sets that apply to autonomic computing. The automation assessment tool provides educational material about autonomic computing and a scale of maturity levels, which is used to assess on-demand preparedness. The automation assessment tool presents a survey and collects answers to the survey questions. The automation assessment tool then determines solutions and recommendations to achieve a target level of on-demand preparedness.

BACKGROUND OF THE INVENTION

1. Technical Field:

The present invention relates to data processing and, in particular, toautonomic computing. Still more particularly, the present inventionprovides a method, apparatus, and program product for implementing anautomation computing evaluation scale to generate recommendations.

2. Description of Related Art

An on-demand business is an enterprise whose business processes, whenintegrated end-to-end across the company with key partners, suppliers,and customers, can respond with speed to any customer, marketopportunity, or external threat. When an enterprise endeavors to beon-demand ready, it is a goal to increase its sophistication ofautomation by embedding autonomic capabilities and technologies. Anenterprise's autonomic capability may range from basic, where analysisand problem solving are performed manually, to autonomic, where computersystems and networks may configure themselves to changing conditions,for example, and are self-healing in the event of failure with minimalhuman intervention.

Autonomic computing can help to overcome the barrier of infrastructurecomplexity. The core benefits of autonomic computing are improvedresiliency, ability to deploy new capabilities more rapidly andincreased return from IT investments. In a rapidly changing market, theability to react quickly is a competitive advantage. Bottom line,advanced automation through utilizing autonomic technology allowscompanies to focus on business, not on infrastructure. Therefore, it maybe a goal of an on-demand business to improve its levels of automationby incorporating autonomic computing technologies.

It is also a goal of a company providing automated computing technologyand services to assess the autonomic computing capabilities ofcustomers. There are white papers on autonomic computing problemdetermination and definitions for what an autonomic computing systemdoes. However, there are no clear benchmarks that enable such anassessment and no tools exist for determining recommendations that mayallow customers to become more automation computing capable.

SUMMARY OF THE INVENTION

The present invention recognizes the disadvantages of the prior art andprovides an automation assessment tool that defines autonomictechnology, processes, organization, and skill sets that apply toautonomic computing. The automation assessment tool provides educationalmaterial about autonomic computing and a scale of maturity levels, whichis used to assess on-demand preparedness. The automation assessment toolpresents a survey and collects answers to the survey questions. Theautomation assessment tool then determines solutions and recommendationsto achieve a target level of on-demand preparedness.

BRIEF DESCRIPTION OF THE DRAWINGS

The novel features believed characteristic of the invention are setforth in the appended claims. The invention itself, however, as well asa preferred mode of use, further objectives and advantages thereof, willbest be understood by reference to the following detailed description ofan illustrative embodiment when read in conjunction with theaccompanying drawings, wherein:

FIG. 1 is a pictorial representation of a data processing system inwhich exemplary aspects of the present invention may be implemented;

FIG. 2 is a block diagram of a data processing system in which exemplaryembodiments of the present invention may be implemented;

FIG. 3 is a block diagram illustrating an automation assessment tool inaccordance with an exemplary embodiment of the present invention;

FIGS. 4A-4D illustrate example presentation material presented by anautomation assessment tool in accordance with an exemplary embodiment ofthe present invention;

FIG. 5 illustrates an example display presenting an automationassessment survey in accordance with an exemplary embodiment of thepresent invention;

FIGS. 6A-6C are example displays illustrating results of automationassessment in accordance with an exemplary embodiment of the presentinvention;

FIGS. 7A and 7B are example displays illustrating solutions andrecommendations in accordance with an exemplary embodiment of thepresent invention;

FIG. 8 is an example display illustrating estimated financial benefitswith automated computing in accordance with an exemplary embodiment ofthe present invention; and

FIG. 9 is a flowchart illustrating the operation of an automationassessment tool in accordance with an exemplary embodiment of thepresent invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

The present invention provides a method, apparatus and computer programproduct for implementing an automation computing evaluation scale togenerate recommendations. The data processing device may be astand-alone computing device or may be a distributed data processingsystem in which multiple computing devices are utilized to performvarious aspects of the present invention. Therefore, the following FIGS.1 and 2 are provided as exemplary diagrams of data processingenvironments in which exemplary aspects of the present invention may beimplemented. It should be appreciated that FIGS. 1 and 2 are onlyexemplary and are not intended to assert or imply any limitation withregard to the environments in which the present invention may beimplemented. Many modifications to the depicted environments may be madewithout departing from the spirit and scope of the present invention.

With reference now to the figures and in particular with reference toFIG. 1, a pictorial representation of a data processing system in whichexemplary aspects of the present invention may be implemented isdepicted. A mobile computer 100 is depicted which includes system unit102, video display terminal 104, keyboard 106, storage devices 108,which may include floppy drives and other types of permanent andremovable storage media, and pointer device 110. Additional inputdevices may be included with mobile computer 100, such as, for example,a mouse, joystick, touch screen, trackball, microphone, and the like.Mobile computer 100 man be implemented using any suitable computer, suchas an IBM ThinkPad® computer, which is a product of InternationalBusiness Machines Corporation, located in Armonk, N.Y. Computer 100 alsopreferably includes a graphical user interface (GUI) that may beimplemented by means of systems software residing in computer readablemedia in operation within computer 100.

With reference now to FIG. 2, a block diagram of a data processingsystem is shown in which exemplary embodiments of the present inventionmay be implemented. Data processing system 200 is an example of a mobilecomputer, such as computer 100 in FIG. 1, in which code or instructionsimplementing the processes of the present invention may be located. Inthe depicted example, data processing system 200 employs a hubarchitecture including a north bridge and memory controller hub (MCH)208 and a south bridge and input/output (I/O) controller hub (ICH) 210.Processor 202, main memory 204, and graphics processor 218 are connectedto MCH 208. Graphics processor 218 may be connected to the MCH throughan accelerated graphics port (AGP), for example.

In the depicted example, local area network (LAN) adapter 212, audioadapter 216, keyboard and mouse adapter 220, modem 222, read only memory(ROM) 224, hard disk drive (HDD) 226, CD-ROM driver 230, universalserial bus (USB) ports and other communications ports 232, and PCI/PCIedevices 234 may be connected to ICH 210. PCI/PCIe devices may include,for example, Ethernet adapters, add-in cards, PC cards for notebookcomputers, etc. PCI uses a cardbus controller, while PCIe does not. ROM224 may be, for example, a flash binary input/output system (BIOS). Harddisk drive 226 and CD-ROM drive 230 may use, for example, an integrateddrive electronics (IDE) or serial advanced technology attachment (SATA)interface. A super I/O (SIO) device 236 may be connected to ICH 210.

Docking interface 240 may also be connected to the ICH. Data processingsystem 200 may be a mobile computing device, such as a laptop computeror handheld computer. Docking interface 240 provides port replication toallow the data processing system to easily connect to a keyboard,pointing device, monitor, printer, speakers, etc. The docking interfaceallows the mobile computing device to operate as a desktop computer withthe more immobile peripheral devices.

An operating system runs on processor 202 and is used to coordinate andprovide control of various components within data processing system 200in FIG. 2. The operating system may be a commercially availableoperating system such as Windows XP™, which is available from MicrosoftCorporation. An object oriented programming system, such as the Java™programming system, may run in conjunction with the operating system andprovides calls to the operating system from Java programs orapplications executing on data processing system 200. “JAVA” is atrademark of Sun Microsystems, Inc. Instructions for the operatingsystem, the object-oriented programming system, and applications orprograms are located on storage devices, such as hard disk drive 226,and may be loaded into main memory 204 for execution by processor 202.The processes of the present invention are performed by processor 202using computer implemented instructions, which may be located in amemory such as, for example, main memory 204, memory 224, or in one ormore peripheral devices 226 and 230.

Those of ordinary skill in the art will appreciate that the hardware inFIG. 2 may vary depending on the implementation. Other internal hardwareor peripheral devices, such as flash memory, equivalent non-volatilememory, or optical disk drives and the like, may be used in addition toor in place of the hardware depicted in FIG. 2. Also, the processes ofthe present invention may be applied to a multiprocessor data processingsystem.

For example, data processing system 200 may be a personal digitalassistant (PDA), which is configured with flash memory to providenon-volatile memory for storing operating system files and/oruser-generated data. The depicted example in FIG. 2 and above-describedexamples are not meant to imply architectural limitations. For example,data processing system 200 also may be a tablet computer or telephonedevice in addition to taking the form of a PDA.

In accordance with exemplary embodiments of the present invention, anautomation assessment tool is provided to assess a client's currentinformation technology (IT) environment to determine on-demandreadiness. The automation assessment tool defines autonomic technology,processes, organization, and skill sets that apply to autonomiccomputing. The automation assessment tool provides educational materialabout autonomic computing and a scale used to measure on-demandpreparedness. The automation assessment tool presents a survey andcollects answers to the survey questions. The automation assessment toolthen determines solutions and recommendations to achieve a target levelof on-demand preparedness.

FIG. 3 is a block diagram illustrating an automation assessment tool inaccordance with an exemplary embodiment of the present invention.Automation assessment tool 310 includes media player 312, survey module314, and analysis module 316. Media player 312 presents educationalpresentation material 302 to a customer via an output device, such asdisplay 322.

Presentation material 302 may provide information about automationincluding information about automation fundamentals, autonomicself-managing capabilities, automation maturity levels, and automationassessment categories. The information provided in presentation material302 serves to educate the customer generally about automation and, morespecifically, about the manner in which automation will be assessed byautomation assessment tool 310. Media player 312 may be, for example, aweb browser, video player, or presentation graphics application program.In one exemplary embodiment, media player 312 may be a Flash® playerfrom Macromedia, Inc.

Survey module 314 presents survey questions 304 to an operator andreceives answers to the questions. A sales representative of a companythat provides automated computing technology and services may conductthe survey and enter answers provided by a customer. Survey module 314stores survey answers 324 for subsequent inspection and for use byanalysis module 316.

To illustrate the operation of survey module 314, an example assessmentsurvey for availability management may include the following questions:

-   -   How would you characterize your current availability processes?    -   How have you leveraged technology to enable your availability        management process?    -   How would you define the availability management skill level of        your current staff?        An example assessment survey for performance and capacity        management may include the following questions:    -   How would you characterize your current performance and capacity        management processes?    -   How have you leveraged technology to enable your performance and        capacity management processes?    -   How would you define the performance and capacity plan skill        level of your current staff?        An example survey for security management may include the        following questions:    -   How would you characterize your current security management        processes?    -   How have you leveraged technology to enable your security        management processes?    -   How would you define the security management skill level of your        current staff?        An example survey for user administration may include the        following questions:    -   How would you characterize your current user administration        processes?    -   How have you leveraged technology to enable your user        administration process?    -   How would you define the user administration skill level of your        current staff?        An example assessment survey for solution deployment may include        the following questions:    -   How would you characterize current solution deployment        processes?    -   How have you leveraged technology to enable your solution        deployment processes?    -   How would you define the solution deployment skill level of your        current staff?        An example assessment survey for problem management may include        the following questions:    -   How would you characterize your current problem management        processes?    -   How have you leveraged technology to enable your problem        resolution processes?    -   How would you define the problem determination skill level of        your current staff?        The example survey questions above are merely exemplary. The        questions may be modified depending upon the implementation. For        example more or fewer questions may be provided.

Analysis module 316 analyzes the automation capabilities of the customerbased on survey answers 324. Automation capabilities of an enterpriseinclude, for example, the ability to be self-configuring, the ability tobe self-healing, the ability to be self-optimization, and the ability tobe self-protecting. Across the four automation capabilities, there areseveral key operational areas where one can assess automation maturity.These operational areas are used as automation assessment categories inaccordance with an exemplary embodiment of the present invention. Theautomation assessment categories may include, for example, problemmanagement, availability management, security management, solutiondeployment, user administration, and performance and capacitymanagement.

Problem management is the act of identifying, isolating, and resolvingissues that might negatively impact IT service delivery. Availabilitymanagement is the act of ensuring that required IT services areavailable, as needed, to ensure business continuity. Security managementis the act of securing critical business resources and data againstattacks and authorized access from both external and internal threats.Solution deployment is the act of planning, testing, distributing,installing, and validating the deployment of new IT solutions, includingthe IT infrastructure elements, in a manner that is the least disruptiveto operational services. The ability to roll back to a prior functioningenvironment if a change is unsuccessful is also necessary. Useradministration is the act of managing the full lifecycle of a user'saccess to the company resources, such as adding, deleting, and changingaccess to resources based on business policies and job function.Performance and capacity management is the act of monitoring andmanaging system performance to adequately meet the throughput andresponse time requirements associated with operational business needs.

Analysis module 316 ranks the various aspects of the customer'son-demand readiness based on a scale of maturity levels. The maturitylevels may include, for example, basic, managed, predictive, adaptive,and autonomic. For example, analysis module 316 may rank each of the keyoperational areas based on this scale. In addition, analysis module 316may optionally rank technology, processes, and skill sets based on thisscale.

The basic maturity level indicates that the customer uses manualanalysis and problem solving. In a real-world scenario, transactionresponse times may slow during key transactions. To diagnose thisproblem within the basic maturity level, multiple product experts mayanalyze product-specific events and logs. The basic maturity levelrequires extensive, highly skilled IT staff. A benefit of this maturitylevel is that basic requirements are addressed.

The managed maturity level indicates that the customer uses centralizedtools and performs manual actions. In a real-world scenario, the ITstaff uses tools to look at transaction response data and event datafrom multiple products to help them make a decision. In the managedmaturity level, the IT staff analyzes data and takes actions. Benefitsof the managed maturity level include greater system awareness andimproved productivity.

The predictive maturity level indicates that the customer monitors,correlates data, and recommends action. In a real-world scenario,transaction trend analysis data (symptoms) is stored in a centraldatabase where this data is used to predict events and to recommendactions. Technology-analysis correlates symptoms with recommendedactions. The IT staff approves and initiates actions. The predictivematurity level enables reduced dependency on deep IT skills and fasterand better decision-making.

The adaptive maturity level indicates that the customer uses system thatmonitors, correlates data, and takes actions. In a real-world scenario,when a problem occurs with a transaction, a particular symptom ismatched to a recommended action, and the system takes the action. The ITstaff manages performance against service level agreements. The adaptivematurity level allows balanced human-to-system interaction and increasesIT agility and resiliency.

The autonomic maturity level indicates dynamic business policy basedmanagement. In a real-world scenario, action is taken based on businesspolicy, for example, giving preference for key transactions over lessimportant ones, or performing an action (like a reboot) during anon-critical time. The IT staff focuses on business needs. Businesspolicy drives IT management. The autonomic maturity level increasesbusiness agility and resiliency.

Analysis module 316 determines solutions and recommendations to achievea target level of automated computing based on survey answers 324.Survey module 314 may provide multiple-choice answers to be selected bythe customer. These multiple-choice answers may be associated withspecific solutions and recommendations. For example, if the customerindicates in the answers to the survey that the IT staff can usecross-resource availability analyses to predict business systemavailability and manually make adjustments to maintain business systemavailability based on business objectives, then automation assessmenttool 310 may recommend that the customer schedule education on workflowautomation and business integration to enable automation of thebest-practices processes that keep IT running.

Analysis module 316 may also determine a financial impact that mayresult from achieving a target level of automated computing capabilityor on-demand preparedness. For example, analysis module 316 may generatea graph that compares target IT spending over time compared to ITspending based on current on-demand readiness. Analysis module 316provides solutions, recommendations, and financial impact information asoutput 326, which may be stored in persistent storage or presented by anoutput device, such as display 322.

Automation assessment tool 310 may be an expert system that crawlsthrough corporate databases and may infer information to create analysisoutput 326. An expert system is an artificial intelligence (AI)application that uses a knowledge base of human expertise or historicalinformation for problem solving. The success of an expert system isbased on the quality of the data and rules obtained from a human expert.In practice, expert systems perform both below and above that of ahuman. Analysis module 316 may use rules (not shown) to derive answersby running information, such as survey answers 324, through an inferenceengine (not shown), which is software that processes results from rulesand data in a knowledge base.

An operator may change answers in survey answers 324 and determinechanges in output 326. In this manner, a customer may see how changes inautomation capabilities affect the assessment output. Thus, automationassessment tool 310 may provide navigation to higher or lower levels ofautonomic computing to generate recommendations.

FIGS. 4A-4D illustrate example presentation material presented by anautomation assessment tool in accordance with an exemplary embodiment ofthe present invention. More particularly, with reference to FIG. 4A,presentation display 400 may provide educational information aboutautomation fundamentals including business service management, policybased orchestration, availability, security, optimization, provisioning,and virtualization.

Business service management is the activity of integratingbusiness-process-to-business-process. Business process integrationprovides the tools needed to manage service levels, meter systemutilization, and bill customers for that usage, as well as modelintegrate, connect, monitor, and manage business processes from end toend for complete linkage of business applications and linkage ofbusiness processes to the IT environment.

Policy based orchestration helps customers automatically control andmanage the four capabilities (availability, security, optimization,provisioning) so that the entire IT infrastructure is respondingdynamically to changing conditions according to defined businesspolicies. The orchestration builds on industry best practices and thecollective IT experience of the customer to ensure that complexdeployments are achieved, on demand, with speed and quality.

Availability management ensures the health and functioning of ITenvironments based on business objectives. Delivery of consistent andreliable service levels with reduced IT administration costs is key,enabled by dynamic event generation, correlation and analysis andautomated cure aligned with business views of the IT infrastructure.With respect to availability management, the automation assessment toolemphasizes self-healing.

Security management ensures that policies for identity management,including access and privacy control, are consistently defined andenforced across the IT environment. Security management enables theautomated detection of and response to security threats, includingintrusions and insecure configurations. With respect to securitymanagement, the automation assessment tool emphasizes self-protecting.

Optimization ensures the most productive utilization of ITinfrastructure based on business objectives. Capabilities liketransaction performance management, dynamic workload management, anddynamic job and task scheduling are key within application domains andacross a heterogeneous IT infrastructure. With respect to optimization,the automation assessment tool emphasizes self-optimization.

Provisioning provides the ability to automatically and dynamicallyconfigure and deploy resources in response to changing businessconditions and objectives in heterogeneous environments. Provisioningcan be elemental (that is, server provisioning, storage provisioning,and so forth) and horizontal (that is, end-to-end applicationprovisioning). With respect to provisioning, the automation assessmenttool emphasizes self-configuration.

Virtualization enables resources to be shared, managed, and accessedacross a workgroup, enterprise, or even across company boundaries,regardless of operating characteristics. Users benefit from seamless anduninterrupted access to resources, while the physical resources thatcompose a virtualized environment might reside in multiple locations.Resource virtualization provides access to processing power and data toimprove asset utilization and efficiency, to rapidly solve complexbusiness problems, to conduct computer-intensive research and dataanalysis, and to respond to real-time business fluctuations on demand.

Turning to FIG. 4B, display 410 presents a review of self-managingcapabilities in automatic computing. Automation capabilities of anenterprise include, for example, the ability to be self-configuring, theability to be self-healing, the ability to be self-optimization, and theability to be self-protecting. A self-configuring environment candynamically configure itself on-the-fly and can adapt itself to thedeployment of new components or changes with minimal human intervention.A self-healing IT environment can detect improper operation of systems,transactions, and business processes, and then initiate correctiveaction without disrupting users or services. A self-optimizing ITenvironment addresses the complexity of managing system performance. Aself-optimizing environment can learn from experience and canproactively tune itself in the context of an overall business objective.A self-protecting IT environment can allow the right people to accessthe right data at the right time. A self-protecting environment canautomatically take the appropriate actions to make itself lessvulnerable to attacks on its runtime infrastructure and on its businessdata.

With reference now to FIG. 4C, display 420 presents a review ofautomation maturity levels in accordance with an exemplary embodiment ofthe present invention. A user may navigate display 420 to view adescription of each of the maturity levels to prepare for the assessmentsurvey and the subsequent results. In the depicted example, the maturitylevels include basic, managed, predictive, adaptive, and autonomic.

With reference to FIG. 4D, display 430 presents information concerningautomation assessment categories. The automation assessment tool of thepresent invention uses the scale of automation maturity levels to assesson-demand preparedness of the client in each of these assessmentcategories. A user may navigate display 420 to view a description ofeach of the assessment categories to prepare for the assessment surveyand the subsequent results. In the depicted example, the automationassessment categories include problem management, availabilitymanagement, security management, solution deployment, useradministration, and performance and capacity management.

FIG. 5 illustrates an example display presenting an automationassessment survey in accordance with an exemplary embodiment of thepresent invention. Display 500 presents survey questions for automationassessment. Sets of questions may be presented for availabilitymanagement, performance and capacity management, security management,user administration, solution deployment, and problem management, forexample. Each question may include a set of multiple-choice answers thatare selectable using a set of radio buttons, as depicted in theillustrated example. The user may navigate the assessment categoriesusing tabs or the like.

The automation assessment tool of the present invention may present setsof survey questions for other aspects of automation. For example, asimilar display may be used to present survey questions for server andoperating system provisioning. Similarly, a separate display may be usedto present survey questions for skill sets, automation technology, orsecurity, for instance.

FIGS. 6A-6C are example displays illustrating results of automationassessment in accordance with an exemplary embodiment of the presentinvention. More particularly, with reference to FIG. 6A, display 600includes a “spider web” graphical representation of automationassessment. Maturity levels are represented radially and assessmentcategories are represented as spokes. The maturity level for eachassessment category is indicated as a point at the intersection of theradial maturity level and the spoke of the assessment category. Thesepoints are connected to form a polygon. Ideally, the polygon should fillas much of the graph as possible.

FIG. 6B illustrates an example display presenting a graphicalrepresentation of an automation capabilities profile. Display 610presents an assessment of automation capabilities. In the depictedexample, the automation capabilities include process assessment,technology assessment, and sills readiness.

FIG. 6C illustrates an example display presenting a graphicalrepresentation of a provisioning profile. Display 620 presents anassessment of provisioning. In the depicted example, provisioningincludes server and operation system provisioning, identityprovisioning, storage provisioning, application provisioning, andnetwork provisioning.

FIGS. 7A and 7B are example displays illustrating solutions andrecommendations in accordance with an exemplary embodiment of thepresent invention. More particularly, with reference to FIG. 7A, display700 presents exemplary solutions for availability management based on acustomer's answers to the assessment survey for availability management.Turning to FIG. 7B, display 710 presents exemplary recommendations forproblem management based on the customer's answers to the assessmentsurvey for problem management.

FIG. 8 is an example display illustrating estimated financial benefitswith automated computing in accordance with an exemplary embodiment ofthe present invention. Display 800 presents a graph including a curvethat estimates future IT spending over time based on current automationcapabilities and a curve that estimates a future IT spending over timebased on a target level of on-demand preparedness. The graph depicted inFIG. 8 serves to illustrate to the customer the financial benefit ofbeing on-demand ready.

FIG. 9 is a flowchart illustrating the operation of an automationassessment tool in accordance with an exemplary embodiment of thepresent invention. Operation begins and the automation assessment toolpresents educational material about autonomic computing (block 902). Asdiscussed above, the educational material may provide information aboutautomation including information about automation fundamentals,autonomic self-managing capabilities, automation maturity levels, andautomation assessment categories.

Next, an operator, such as a sales representative or a client, conductsa survey and the automation assessment tool collects survey answers(block 904). The survey may include sets of questions for variousaspects of automated computing, including, for example, a number ofpredetermined assessment categories.

Thereafter, the automation assessment tool ranks aspects of automatedcomputing based on a scale of maturity levels (block 906). Theassessment tool then determines solutions and recommendations to achievea target level of automated computing (block 908) and determinesoperational efficiency savings for the target level of automatedcomputing (block 910). The tool then presents the solutions,recommendations, and efficiency savings output to the customer (block912) and operation ends.

Thus, the present invention solves the disadvantages of the prior art byproviding an automation assessment tool that defines autonomictechnology, processes, organization, and skill sets that apply toautonomic computing. The automation assessment tool provides educationalmaterial about autonomic computing and a scale used to measure on-demandpreparedness. The automation assessment tool presents a survey andcollects answers to the survey questions. The automation assessment toolthen determines solutions and recommendations to achieve a target levelof on-demand preparedness.

The present invention provides a unique scale of maturity levels forassessing automated computing. The assessment tool of the presentinvention is capable of applying specific technology to each level ofautomated computing and automates the business-level process ofautomated computing sales and marketing consultation. The presentinvention also overcomes the complexities of automated computing facedby customers and the sales force by providing a tool that guides theoperator through educational materials and survey questions andautomatically generates solutions and recommendations.

The automation assessment tool of the present invention may also beimplemented to navigate through databases of skill sets, organizationalinformation, existing technology, processes, etc., to collect on-demandreadiness information, rather than using a question-and-answer survey.The assessment tool may also be applied to corporate educationassessment and may extend the virtual engagement process of stand-aloneelectronic sales.

It is important to note that while the present invention has beendescribed in the context of a fully functioning data processing system,those of ordinary skill in the art will appreciate that the processes ofthe present invention are capable of being distributed in the form of acomputer readable medium of instructions and a variety of forms and thatthe present invention applies equally regardless of the particular typeof signal bearing media actually used to carry out the distribution.Examples of computer readable media include recordable-type media, suchas a floppy disk, a hard disk drive, a RAM, CD-ROMs, DVD-ROMs, andtransmission-type media, such as digital and analog communicationslinks, wired or wireless communications links using transmission forms,such as, for example, radio frequency and light wave transmissions. Thecomputer readable media may take the form of coded formats that aredecoded for actual use in a particular data processing system.

The description of the present invention has been presented for purposesof illustration and description, and is not intended to be exhaustive orlimited to the invention in the form disclosed. Many modifications andvariations will be apparent to those of ordinary skill in the art. Theembodiment was chosen and described in order to best explain theprinciples of the invention, the practical application, and to enableothers of ordinary skill in the art to understand the invention forvarious embodiments with various modifications as are suited to theparticular use contemplated.

1. A method, in a data processing system, for assessing automated computing capabilities, the method comprising: receiving information about automated computing capabilities of a customer; assigning a maturity level from a set of maturity levels to each of a plurality of assessment categories based on the information about the automated computing capabilities of the customer; and providing information for achieving a target level of automated computing to the customer.
 2. The method of claim 1, further comprising: presenting educational information about automated computing to the customer.
 3. The method of claim 2, wherein the educational material identifies the set of maturity levels.
 4. The method of claim 2, wherein the educational materials identifies the plurality of assessment categories.
 5. The method of claim 1, wherein receiving information about the automated computing capabilities of the customer includes: presenting a plurality of survey questions; and receiving answers to the plurality of survey questions.
 6. The method of claim 5, wherein the plurality of survey questions include multiple-choice answers.
 7. The method of claim 1, wherein providing information for achieving a target level of automated computing includes: determining solutions for automated computing based on the information about the automated computing capabilities of the customer.
 8. The method of claim 1, wherein providing information for achieving a target level of automated computing includes: determining recommendations for achieving a target level of automated computing based on the information about the automated computing capabilities of the customer.
 9. The method of claim 1, wherein providing information for achieving a target level of automated computing includes: determining operational efficiency savings for the target level of automated computing relative to the automated computing capabilities of the customer.
 10. The method of claim 1, wherein the set of maturity levels includes basic, managed, predictive, adaptive, and autonomic.
 11. The method of claim 1, wherein the plurality of assessment categories includes problem management, availability management, security management, solution deployment, user administration, and performance and capacity management.
 12. The method of claim 1, wherein providing information for achieving a target level of automated computing to the customer includes: changing at least a portion of the information about automated computing capabilities of the customer to for changed information; and determining a change in the maturity level for each of the plurality of assessment categories based on the changed information.
 13. The method of claim 1, further comprising: using an expert system to analyze historical information using a set of rules.
 14. An apparatus, in a data processing system, for assessing automated computing capabilities, the apparatus comprising: means for receiving information about automated computing capabilities of a customer; means for assigning a maturity level from a set of maturity levels to each of a plurality of assessment categories based on the information about the automated computing capabilities of the customer; and means for providing information for achieving a target level of automated computing to the customer.
 15. A computer program product, in a computer readable medium, for assessing automated computing capabilities, the computer program product comprising: instructions for receiving information about automated computing capabilities of a customer; instructions for assigning a maturity level from a set of maturity levels to each of a plurality of assessment categories based on the information about the automated computing capabilities of the customer; and instructions for providing information for achieving a target level of automated computing to the customer.
 16. The computer program product of claim 15, further comprising: instructions for presenting educational information about automated computing to the customer.
 17. The computer program product of claim 16, wherein the educational material identifies the set of maturity levels.
 18. The computer program product of claim 16, wherein the educational material identifies the plurality of assessment categories.
 19. The computer program product of claim 15, wherein the instructions for receiving information about the automated computing capabilities of the customer include: instructions for presenting a plurality of survey questions; and instructions for receiving answers to the plurality of survey questions.
 20. The computer program product of claim 19, wherein the plurality of survey questions include multiple-choice answers.
 21. The computer program product of claim 15, wherein the instructions for providing information for achieving a target level of automated computing include: instructions for determining solutions for automated computing based on the information about the automated computing capabilities of the customer.
 22. The computer program product of claim 15, wherein the instructions for providing information for achieving a target level of automated computing include: instructions for determining recommendations for achieving a target level of automated computing based on the information about the automated computing capabilities of the customer.
 23. The computer program product of claim 15, wherein the instructions for providing information for achieving a target level of automated computing include: instructions for determining operational efficiency savings for the target level of automated computing relative to the automated computing capabilities of the customer.
 24. The computer program product of claim 15, wherein the set of maturity levels includes basic, managed, predictive, adaptive, and autonomic.
 25. The computer program product of claim 15, wherein the plurality of assessment categories includes problem management, availability management, security management, solution deployment, user administration, and performance and capacity management.
 26. The computer program product of claim 15, wherein the instructions for providing information for achieving a target level of automated computing to the customer includes: instructions for changing at least a portion of the information about automated computing capabilities of the customer to for changed information; and instructions for determining a change in the maturity level for each of the plurality of assessment categories based on the changed information.
 27. The computer program product of claim 15, further comprising: instructions for using an expert system to analyze historical information using a set of rules. 